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Open AccessArticle

Inconsistency Calibrating Algorithms for Large Scale Piezoresistive Electronic Skin

School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
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Micromachines 2020, 11(2), 162; https://doi.org/10.3390/mi11020162
Received: 17 November 2019 / Revised: 10 January 2020 / Accepted: 18 January 2020 / Published: 3 February 2020
In the field of safety and communication of human-robot interaction (HRI), using large-scale electronic skin will be the tendency in the future. The force-sensitive piezoresistive material is the key for piezoresistive electronic skin. In this paper, a non-array large scale piezoresistive tactile sensor and its corresponding calibration methods were presented. Because of the creep inconsistency of large scale piezoresistive material, a creep tracking compensation method based on K-means clustering and fuzzy pattern recognition was proposed to improve the detection accuracy. With the compensated data, the inconsistency and nonlinearity of the sensor was calibrated. The calibration process was divided into two parts. The hierarchical clustering algorithm was utilized firstly to classify and fuse piezoresistive property of different regions over the whole sensor. Then, combining the position information, the force detection model was constructed by Back-Propagation (BP) neural network. At last, a novel flexible tactile sensor for detecting contact position and force was designed as an example and tested after being calibrated. The experimental results showed that the calibration methods proposed were effective in detecting force, and the detection accuracy was improved.
Keywords: calibration; electronic skin; inconsistency; large scale; piezoresistive calibration; electronic skin; inconsistency; large scale; piezoresistive
MDPI and ACS Style

Ye, J.; Lin, Z.; You, J.; Huang, S.; Wu, H. Inconsistency Calibrating Algorithms for Large Scale Piezoresistive Electronic Skin. Micromachines 2020, 11, 162.

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